Software Applications Engineer Jobs in California
Software Applications Engineer jobs in California are among the most active in the country, concentrated in enterprise software, defense systems, semiconductor and hardware, biotech platforms, and cloud infrastructure, with openings at every level from new graduate through principal and staff engineer. The largest hiring markets are the San Francisco Bay Area, Los Angeles, and San Diego, where established employers such as Apple, Qualcomm, and Northrop Grumman have deep and sustained engineering operations. Application development, embedded systems, and full-stack platform work are the most consistently sought-after specialties across California listings. Find a role that fits below and apply directly.
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Showing 5 of 40+ Software Applications Engineer jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
- 8 years of experience testing, maintaining, or launching software products, and 5 years of experience with software design and architecture.
- 8 years of experience with ML/AI algorithms and tools, deep learning or other modeling.
- 7 years of experience leading technical project strategy, ML design, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 2 years of experience with GenAI (e.g., LLMs, multi-modal, vision models, language modeling, computer vision).
Preferred qualifications:
- PhD in Computer Science, Statistics, or related fields.
- Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
- Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
- Deep familiarity with the Search/Shopping/Ads stack, and solid understanding of ML and AI concepts with direct experience applying LLMs in user-facing products.
- Excellent programming skills leveraging GenAI tools, and a strong mindset with extensive experience navigating data-driven decision-making and driving cross-functional alignments.
- Strong mathematical skills with knowledge of statistical methods.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The WebSearch Formats team in Retail Ads owns the end-to-end user experience for Google's flagship shopping ad products on Google.com. We build visual, interactive, and intelligent ad formats to showcase relevant information for billions of shoppers worldwide.
Our full-stack engineering scope spans LLM content generation, evaluation, and serving, as well as system optimizations across the ads quality stack and backend-frontend integration. Partnering closely with stakeholders across Ads, Commerce, and Search, we combine system expertise with generative AI to scale Google’s Retail Ads and build a helpful whole-page shopping experience.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Address open-ended problems at the frontier of Generative AI and retail ad products — such as how to dynamically compose and personalize ad formats in real time to better serve complex queries and mixed intents.
- Influence organization strategy and prioritization by identifying key areas worth investing in and defining the technical roadmap. Co-define product strategy with cross-functional leadership.
- Work closely with Ads Quality, Commerce, and Search stakeholders across the board. Build deep cross-product area partnerships. Optimize the retail ad products ecosystem end-to-end and optimize the whole page layouts.
- Own the holistic technical architecture. Manage complex, multi-quarter, cross-team initiatives from design through launch; proactively diagnose and resolve cross-system bottlenecks; raise the bar on engineering excellence, experimentation velocity, and production reliability.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
- 8 years of experience testing, maintaining, or launching software products, and 5 years of experience with software design and architecture.
- 8 years of experience with ML/AI algorithms and tools, deep learning or other modeling.
- 7 years of experience leading technical project strategy, ML design, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 2 years of experience with GenAI (e.g., LLMs, multi-modal, vision models, language modeling, computer vision).
Preferred qualifications:
- PhD in Computer Science, Statistics, or related fields.
- Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
- Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
- Deep familiarity with the Search/Shopping/Ads stack, and solid understanding of ML and AI concepts with direct experience applying LLMs in user-facing products.
- Excellent programming skills leveraging GenAI tools, and a strong mindset with extensive experience navigating data-driven decision-making and driving cross-functional alignments.
- Strong mathematical skills with knowledge of statistical methods.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The WebSearch Formats team in Retail Ads owns the end-to-end user experience for Google's flagship shopping ad products on Google.com. We build visual, interactive, and intelligent ad formats to showcase relevant information for billions of shoppers worldwide.
Our full-stack engineering scope spans LLM content generation, evaluation, and serving, as well as system optimizations across the ads quality stack and backend-frontend integration. Partnering closely with stakeholders across Ads, Commerce, and Search, we combine system expertise with generative AI to scale Google’s Retail Ads and build a helpful whole-page shopping experience.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Address open-ended problems at the frontier of Generative AI and retail ad products — such as how to dynamically compose and personalize ad formats in real time to better serve complex queries and mixed intents.
- Influence organization strategy and prioritization by identifying key areas worth investing in and defining the technical roadmap. Co-define product strategy with cross-functional leadership.
- Work closely with Ads Quality, Commerce, and Search stakeholders across the board. Build deep cross-product area partnerships. Optimize the retail ad products ecosystem end-to-end and optimize the whole page layouts.
- Own the holistic technical architecture. Manage complex, multi-quarter, cross-team initiatives from design through launch; proactively diagnose and resolve cross-system bottlenecks; raise the bar on engineering excellence, experimentation velocity, and production reliability.
See All 40 Software Applications Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsSoftware Applications Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Software Applications Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- Automotive
- Medical Devices
- Science & Research
What California Employers Look For
The qualifications that appear most often in software applications engineer jobs across California.
- Bachelor's degree in computer science, software engineering, or a related technical field
- Proficiency in one or more languages such as Java, Python, C++, or C#
- Experience designing, developing, and testing software applications end to end
- Familiarity with Agile or Scrum development workflows and version control systems
- Ability to collaborate with cross-functional teams including QA, product, and infrastructure
- Experience with cloud platforms such as AWS, Azure, or Google Cloud is strongly preferred
Software Applications Engineer Jobs in California: Frequently Asked Questions
How do you become a software applications engineer in California?
Most software applications engineer roles in California require a bachelor's degree in computer science, software engineering, or a closely related discipline. California does not require a state-issued license to work as a software applications engineer in industry. Employers at defense and aerospace firms may require a security clearance. Building a portfolio of shipped applications, contributing to open-source projects, and earning vendor certifications from AWS, Google, or Microsoft strengthen candidacy significantly in this market.
How much do software applications engineers make in California?
Software applications engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software applications engineers in California?
Employers hiring software applications engineers in California right now include Tesla, Vast, and Apple, based on current listings on Migrate Mate as of September 2026. California's concentration of defense contractors, semiconductor companies, and enterprise software firms means hiring is distributed across both major coastal metros and inland technology corridors such as San Jose and Irvine.
Which California cities have the most software applications engineer jobs?
Santa Clara, Palo Alto, and San Diego lead California for software applications engineer openings. The Bay Area dominates due to the density of enterprise software headquarters and semiconductor design centers, while Los Angeles draws demand from aerospace, defense, and media technology companies, and San Diego's openings reflect its strong base of defense contractors and wireless communications firms such as Qualcomm.
Are there remote software applications engineer jobs in California?
Yes, and more than most fields. About 50% of software applications engineer openings tied to California are remote or hybrid as of September 2026, reflecting how well the core work, writing code, conducting code reviews, and collaborating asynchronously, translates to distributed environments. Roles involving hardware integration, embedded systems, or classified government contracts are more likely to require on-site presence.
How can I get hired as a software applications engineer in California with little or no experience?
The most realistic entry path is applying directly for associate or junior software engineer roles at large California employers that run structured new-grad programs, including Apple, Qualcomm, and Oracle, which hire bachelor's graduates with strong internship or capstone project experience. California community college districts and UC campuses feed well-regarded transfer and co-op pipelines into these programs. A portfolio of two or three deployed applications, or demonstrated contributions to open-source projects on GitHub, consistently advances candidates who lack professional experience. Adjacent roles such as QA engineer and technical support analyst are common lateral entry points that lead to application development positions within one to two years.
Where can I find and apply to software applications engineer jobs in California?
You can find and apply to software applications engineer jobs in California on Migrate Mate, which lists current California openings updated in real time. Search the listings for roles that match your experience level, preferred location, and specialization, then apply directly to the ones that fit.
See All 40 Software Applications Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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